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Mis à jour
02/09/2024

Classe: Trojan-Spy

Les programmes Trojan-Spy sont utilisés pour espionner les actions d'un utilisateur (suivre les données saisies au clavier, faire des captures d'écran, récupérer une liste d'applications en cours, etc.). Les informations récoltées sont ensuite transmises à l'utilisateur malveillant. Email, FTP, le web (y compris les données dans une demande) et d'autres méthodes peuvent être utilisés pour transmettre les données.

Plus d'informations

Plateforme: Win32

Win32 est une API sur les systèmes d'exploitation Windows NT (Windows XP, Windows 7, etc.) qui prend en charge l'exécution des applications 32 bits. L'une des plateformes de programmation les plus répandues au monde.

Famille: Trojan-Spy.Win32.KeyLogger

No family description

Examples

F45E7F613D79EE898401CB24C95DBE99
BB9DD43A5619EAB24720A36ACEA71D8E
B4A176658629C85A027B325AD765FFDB
A360F2E6F82CDCA260C2857B085547B4
DF603DAA77021AF5F9BE58F940634270

Tactics and Techniques: Mitre*

TA0005
Defense Evasion
The adversary is trying to avoid being detected.

Defense Evasion consists of techniques that adversaries use to avoid detection throughout their compromise. Techniques used for defense evasion include uninstalling/disabling security software or obfuscating/encrypting data and scripts. Adversaries also leverage and abuse trusted processes to hide and masquerade their malware. Other tactics’ techniques are cross-listed here when those techniques include the added benefit of subverting defenses.
T1497.002
Virtualization/Sandbox Evasion: User Activity Based Checks
Adversaries may employ various user activity checks to detect and avoid virtualization and analysis environments. This may include changing behaviors based on the results of checks for the presence of artifacts indicative of a virtual machine environment (VME) or sandbox. If the adversary detects a VME, they may alter their malware to disengage from the victim or conceal the core functions of the implant. They may also search for VME artifacts before dropping secondary or additional payloads. Adversaries may use the information learned from Virtualization/Sandbox Evasion during automated discovery to shape follow-on behaviors.(Citation: Deloitte Environment Awareness)

Adversaries may search for user activity on the host based on variables such as the speed/frequency of mouse movements and clicks (Citation: Sans Virtual Jan 2016) , browser history, cache, bookmarks, or number of files in common directories such as home or the desktop. Other methods may rely on specific user interaction with the system before the malicious code is activated, such as waiting for a document to close before activating a macro (Citation: Unit 42 Sofacy Nov 2018) or waiting for a user to double click on an embedded image to activate.(Citation: FireEye FIN7 April 2017)
TA0007
Discovery
The adversary is trying to figure out your environment.

Discovery consists of techniques an adversary may use to gain knowledge about the system and internal network. These techniques help adversaries observe the environment and orient themselves before deciding how to act. They also allow adversaries to explore what they can control and what’s around their entry point in order to discover how it could benefit their current objective. Native operating system tools are often used toward this post-compromise information-gathering objective.
T1497.002
Virtualization/Sandbox Evasion: User Activity Based Checks
Adversaries may employ various user activity checks to detect and avoid virtualization and analysis environments. This may include changing behaviors based on the results of checks for the presence of artifacts indicative of a virtual machine environment (VME) or sandbox. If the adversary detects a VME, they may alter their malware to disengage from the victim or conceal the core functions of the implant. They may also search for VME artifacts before dropping secondary or additional payloads. Adversaries may use the information learned from Virtualization/Sandbox Evasion during automated discovery to shape follow-on behaviors.(Citation: Deloitte Environment Awareness)

Adversaries may search for user activity on the host based on variables such as the speed/frequency of mouse movements and clicks (Citation: Sans Virtual Jan 2016) , browser history, cache, bookmarks, or number of files in common directories such as home or the desktop. Other methods may rely on specific user interaction with the system before the malicious code is activated, such as waiting for a document to close before activating a macro (Citation: Unit 42 Sofacy Nov 2018) or waiting for a user to double click on an embedded image to activate.(Citation: FireEye FIN7 April 2017)

* © 2026 The MITRE Corporation. This work is reproduced and distributed with the permission of The MITRE Corporation.

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